dualKS-package: Dual KS Discriminant Analysis and Classification

Description Details Author(s)


This package implements a Kolmogorov Smirnov rank-sum based algorithm for training (i.e. discriminant analysis–identification of genes that discriminate between classes) and classification of gene expression data sets. One of the chief strengths of this approach is that it is amenable to the "multiclass" problem. That is, it can discriminate between more than 2 classes.


Package: dualKS
Type: Package
Version: 1.0
Date: 2008-04-18
License: GPL-3

Use of this package requires an ExpressionSet, pre-processed to your liking, containing gene expression data you wish to train on to identify discriminant genes. Optionally, a second ExpressionSet may be employed for subsequent testing or "diagnosis".

If the ExpressionSet does not contain the appropriate phenoData specifying the classes for each sample, a factor containing this information will also be required.

See the examples for further details.


Eric J. Kort Maintainer: <[email protected]>

Bioconductor-mirror/dualKS documentation built on June 1, 2017, 7:37 a.m.